code: def __init__(
      self, loader, mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD
  ):
      self.loader = loader
      self.mean = (
          torch.tensor([x * 255 for x in mean]).cuda().view(1, 3, 1, 1)
      )
      self.std = (
          torch.tensor([x * 255 for x in std]).cuda().view(1, 3, 1, 1)
      )
  
file_path: gen-efficientnet-pytorch/data/loader.py
imports: import torch
  import torch.utils.data
  from .transforms import *
label_desc: Use image node_id 1 to create a new PrefetchLoader object  with example: obj = PrefetchLoader(loader, mean, std)